94 related articles for article (PubMed ID: 16945569)
1. A biologically inspired algorithm for microcalcification cluster detection.
Linguraru MG; Marias K; English R; Brady M
Med Image Anal; 2006 Dec; 10(6):850-62. PubMed ID: 16945569
[TBL] [Abstract][Full Text] [Related]
2. Detection of clustered microcalcifications in small field digital mammography.
Arodź T; Kurdziel M; Popiela TJ; Sevre EO; Yuen DA
Comput Methods Programs Biomed; 2006 Jan; 81(1):56-65. PubMed ID: 16310282
[TBL] [Abstract][Full Text] [Related]
3. Detection of microcalcification clusters using Hessian matrix and foveal segmentation method on multiscale analysis in digital mammograms.
Thangaraju B; Vennila I; Chinnasamy G
J Digit Imaging; 2012 Oct; 25(5):607-19. PubMed ID: 22581343
[TBL] [Abstract][Full Text] [Related]
4. A swarm optimized neural network system for classification of microcalcification in mammograms.
Dheeba J; Selvi ST
J Med Syst; 2012 Oct; 36(5):3051-61. PubMed ID: 21947904
[TBL] [Abstract][Full Text] [Related]
5. Scale-space signatures for the detection of clustered microcalculations in digital mammograms.
Netsch T; Peitgen HO
IEEE Trans Med Imaging; 1999 Sep; 18(9):774-86. PubMed ID: 10571382
[TBL] [Abstract][Full Text] [Related]
6. Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system.
Basile TMA; Fanizzi A; Losurdo L; Bellotti R; Bottigli U; Dentamaro R; Didonna V; Fausto A; Massafra R; Moschetta M; Tamborra P; Tangaro S; La Forgia D
Phys Med; 2019 Aug; 64():1-9. PubMed ID: 31515007
[TBL] [Abstract][Full Text] [Related]
7. [Detection of microcalcifications in digital mammograms based on dual-threshold].
Huang Q; He D; Wu Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Oct; 25(5):1189-92, 1205. PubMed ID: 19024473
[TBL] [Abstract][Full Text] [Related]
8. Detection of single and clustered microcalcifications in mammograms using fractals models and neural networks.
Bocchi L; Coppini G; Nori J; Valli G
Med Eng Phys; 2004 May; 26(4):303-12. PubMed ID: 15121055
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of clinical image processing algorithms used in digital mammography.
Zanca F; Jacobs J; Van Ongeval C; Claus F; Celis V; Geniets C; Provost V; Pauwels H; Marchal G; Bosmans H
Med Phys; 2009 Mar; 36(3):765-75. PubMed ID: 19378737
[TBL] [Abstract][Full Text] [Related]
10. Association of Microcalcification Clusters with Short-term Invasive Breast Cancer Risk and Breast Cancer Risk Factors.
Alsheh Ali M; Czene K; Hall P; Humphreys K
Sci Rep; 2019 Oct; 9(1):14604. PubMed ID: 31601987
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided diagnosis scheme using a filter bank for detection of microcalcification clusters in mammograms.
Nakayama R; Uchiyama Y; Yamamoto K; Watanabe R; Namba K
IEEE Trans Biomed Eng; 2006 Feb; 53(2):273-83. PubMed ID: 16485756
[TBL] [Abstract][Full Text] [Related]
12. Microcalcifications detection using Fisher's linear discriminant and breast density.
Rodriguez GA; Gonzalez JA; Altamirano L; Guichard JS; Diaz R
Adv Exp Med Biol; 2011; 696():451-9. PubMed ID: 21431585
[TBL] [Abstract][Full Text] [Related]
13. A novel approach to microcalcification detection using fuzzy logic technique.
Cheng HD; Lui YM; Freimanis RI
IEEE Trans Med Imaging; 1998 Jun; 17(3):442-50. PubMed ID: 9735907
[TBL] [Abstract][Full Text] [Related]
14. Segmentation for the enhancement of microcalcifications in digital mammograms.
Milosevic M; Jankovic D; Peulic A
Technol Health Care; 2014; 22(5):701-15. PubMed ID: 25059254
[TBL] [Abstract][Full Text] [Related]
15. Automated feature set selection and its application to MCC identification in digital mammograms for breast cancer detection.
Huang YJ; Chan DY; Cheng DC; Ho YJ; Tsai PP; Shen WC; Chen RF
Sensors (Basel); 2013 Apr; 13(4):4855-75. PubMed ID: 23580053
[TBL] [Abstract][Full Text] [Related]
16. Computer aided decision system for early detection of breast cancer.
Sheshadri HS; Kandaswamy A
Indian J Med Res; 2006 Aug; 124(2):149-54. PubMed ID: 17015928
[TBL] [Abstract][Full Text] [Related]
17. Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms.
Gavrielides MA; Lo JY; Floyd CE
Med Phys; 2002 Apr; 29(4):475-83. PubMed ID: 11998828
[TBL] [Abstract][Full Text] [Related]
18. Topological modeling and classification of mammographic microcalcification clusters.
Chen Z; Strange H; Oliver A; Denton ER; Boggis C; Zwiggelaar R
IEEE Trans Biomed Eng; 2015 Apr; 62(4):1203-14. PubMed ID: 25546849
[TBL] [Abstract][Full Text] [Related]
19. An improved method of region grouping for microcalcification detection in digital mammograms.
Qian W; Mao F; Sun X; Zhang Y; Song D; Clarke RA
Comput Med Imaging Graph; 2002; 26(6):361-8. PubMed ID: 12453502
[TBL] [Abstract][Full Text] [Related]
20. Segmentation algorithms for detecting microcalcifications in mammograms.
Bankman IN; Nizialek T; Simon I; Gatewood OB; Weinberg IN; Brody WR
IEEE Trans Inf Technol Biomed; 1997 Jun; 1(2):141-9. PubMed ID: 11020816
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]